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ISSN: 2666-4127

Efficient algorithms for electric vehicles’ min-max routing problem

An increase in greenhouse gases emission from the transportation sector has led companies and the government to elevate and support the production of electric vehicles (EV). With recent developments...

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A systematic review of life cycle assessments of 3D concrete printing

The construction industry plays a crucial role in shaping our built environment, and it is imperative to adopt more sustainable and innovative practices, technologies, and tools to minimize the environmental...

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A sustainable multi-objective model for the hazardous waste location-routing problem: A real case study

A substantial extent of harmful rubbish produced from manufacturing processes and health segments has posed a significant warning to the health of humans by affecting environmental concerns and the...

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A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy

•This study prioritizes the barriers to sustainable supply chain management in the textile industry in emerging economies.•Pareto analysis, fuzzy theory, and Decision-Making Trial and Evaluation Laboratory...

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Eco-label strategy selection for green product development in supply chain

•Self-labeling and certification label strategies have been compared in green supply chain.•Consumer trust and green awareness significantly affect eco-label strategy and social welfare.•Extend the...

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Does the transformation of high-tech zones into national innovation demonstration zones promote the urban green total factor productivity?

The plan of "transforming national high-tech zones into national innovation demonstration zones (hereinafter referred to as" NIDZ") launched in 2009 is an attempt to promote high-quality economic development...

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Sustainable CNC machining operations, a review

To minimize the quantities of carbon emissions produced by the production process, sustainable manufacturing should be implemented. CNC machining operations can be made more sustainable by optimizing...

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A multi-objective grey wolf optimizer for energy planning problem in smart home using renewable energy systems

•The grey wolf optimizer (GWO) is adapted to address the Energy Planning Problem (EPP).•The EPP is formulated as a multi-objective optimization problem.•Real-world RESs are utilized to enhance the EPP.•Up...

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Design and Optimization of a Pharmaceutical Supply Chain Network under COVID-19 Pandemic Disruption

Efficient management of pharmaceutical supply chains during the COVID-19 pandemic is critical to mitigate material and human losses. This paper addresses the design of a pharmaceutical supply chain...

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Assessing the factors influencing the adoption of geothermal energy to support the national grid in emerging economies: Implications for sustainability

•Study examines the factors influencing the adoption of geothermal energy in emerging economies.•Delphi, fuzzy TISM, and fuzzy MICMAC methods have been applied.•Scope for new investments and employment...

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Emergency traffic distribution and related traffic organization method under natural disasters

The frequent occurrence of natural disasters caused by human activities and environmental pollution has forced people to pay attention to environmental protection. Of course, emergency rescue after...

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Management 4.0: Concept, applications and advancements

Management 4.0 assists businesses in evolving, surviving and performing in the competitive and dynamic world. This fourth revolution uses advanced technologies like Artificial Intelligence (AI), Virtual...

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Optimization of solar energy using MPPT techniques and industry 4.0 modelling

Solar energy is the energy discharged by the sun in the form of radiation of light which is then utilized by human beings using a diversity of method such as photovoltaic cells. It is unlimited source...

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Comparison of the response efficiency between the fractal and traditional emergency organizations based on system dynamic simulation

The fractal emergency organization is a new kind of organization form with plenty of advantages compared with the traditional emergency organization. A system dynamic (SD) simulation model was built...

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PAPQ: Predictive analytics of product quality in industry 4.0

In e-commerce, Industry 4.0 is all about combining analytics, artificial intelligence, and machine learning to simplify procedures and enable product quality review. In addition, the importance of anticipating...

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An adaptive ant colony algorithm for crowdsourcing multi-depot vehicle routing problem with time windows

•A two-stage MDVRPTW framework is proposed to optimize vehicle routing.•A k-means clustering algorithm based on the elbow method is proposed.•Traditional VRPTW and crowdsourcing VRPTW models are developed.•The...

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Factors influencing sustainability in start-ups operations 4.0

Given that the previous industrial revolution brought about significant and occasionally unanticipated changes in the “economy,” “the environment,” and “society,” industry 4.0’s sustainability effects...

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A systematic analysis of machine learning and deep learning based approaches for identifying and diagnosing plant diseases

In agriculture, one of the most challenging tasks is the early detection of plant diseases. It is essential to identify diseases early in order to boost agricultural productivity. This problem has been...

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An investigation of the customer baseline load (CBL) calculation for industrial demand response participants –A regional case study from Iran

In today's power systems, performing demand response (DR) programs is considered a solution for sustainable operation, carbon reduction, and facilitating renewable energy integration. Currently in Iran,...

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Analysis of the factors influencing the stability of stored grains: Implications for agricultural sustainability and food security

•Study examines the key factors that influence the stability of stored grains.•Pareto analysis, fuzzy TISM, and fuzzy MICMAC methods have been applied.•“Proper training on advanced storage operations”...

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Exploration of the drivers influencing the growth of hybrid electric vehicle adoption in the emerging economies: Implications towards sustainability and low-carbon economy

•Study analyzes the drivers influencing the growth of HEV adoption in emerging economies.•A Bayesian Best-Worst method framework is used to examine the identified drivers.•No requirement for a charging...

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3D printed medical surgical cotton fabric- poly lactic acid biocomposite: A feasibility study

Fused Deposition Modeling (FDM) 3D printing is an advanced Additive Manufacturing (AM) method for developing thermoplastic-based parts. Researchers studied FDM-based 3D printing of PLA with whole biomass...

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Identifying the feasibility of ‘travelator roads’ for modern-era sustainable transportation and its prototyping using additive manufacturing

With the rising human population, travelling on static roads is insufficient to meet modern mobility demands. The global economy loses hundreds of billions of dollars yearly due to traffic inefficiencies,...

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Sustainability, emission trading system and carbon leakage: An approach based on neural networks and multicriteria analysis

Two transitions, green and digital, are changing the operations and strategies of industrial systems. At the same time, businesses are challenged to be globally competitive. Europe has a very ambitious...

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Identification of benefits, challenges, and pathways in E-commerce industries: An integrated two-phase decision-making model

•An integrated two phase decision-making model for e-commerce application.•Affordable advertising, product variety, and global reach are important benefits.•Technological upgradation, returns, and counterfeits...

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